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LOC McCabe index: 2 number of parameters: 2 id: 36 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 26 LOC McCabe index: 6 number of parameters: 5 id: 37 unit: def create_model_and_benchmark() file: scripts/benchmark_models.py start line: 0 end line: 0 size: 26 LOC McCabe index: 3 number of parameters: 1 id: 38 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 25 LOC McCabe index: 8 number of parameters: 4 id: 39 unit: def flatten_omega_conf() file: training/train_muse.py start line: 0 end line: 0 size: 25 LOC McCabe index: 11 number of parameters: 2 id: 40 unit: def flatten_omega_conf() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 25 LOC McCabe index: 11 number of parameters: 2 id: 41 unit: def sdxl_benchmark() file: benchmark/muse_perf.py start line: 0 end line: 0 size: 24 LOC McCabe index: 4 number of parameters: 4 id: 42 unit: def ssd_1b_benchmark() file: benchmark/muse_perf.py start line: 0 end line: 0 size: 24 LOC McCabe index: 4 number of parameters: 4 id: 43 unit: def load_state_dict() file: muse/modeling_utils.py start line: 0 end line: 0 size: 24 LOC McCabe index: 5 number of parameters: 2 id: 44 unit: def sd_turbo_benchmark() file: benchmark/muse_perf.py start line: 0 end line: 0 size: 23 LOC McCabe index: 2 number of parameters: 3 id: 45 unit: def sdxl_turbo_benchmark() file: benchmark/muse_perf.py start line: 0 end line: 0 size: 23 LOC McCabe index: 2 number of parameters: 3 id: 46 unit: def generate_and_save_images_flickr_8k() file: scripts/calculate_fid.py start line: 0 end line: 0 size: 23 LOC McCabe index: 3 number of parameters: 1 id: 47 unit: def generate2() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 22 LOC McCabe index: 2 number of parameters: 0 id: 48 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 22 LOC McCabe index: 3 number of parameters: 3 id: 49 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 22 LOC McCabe index: 5 number of parameters: 5 id: 50 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 22 LOC McCabe index: 5 number of parameters: 4 id: 51 unit: def lcm_benchmark() file: benchmark/muse_perf.py start line: 0 end line: 0 size: 21 LOC McCabe index: 2 number of parameters: 3 id: 52 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 21 LOC McCabe index: 5 number of parameters: 3 id: 53 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 21 LOC McCabe index: 5 number of parameters: 3 id: 54 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 21 LOC McCabe index: 7 number of parameters: 6 id: 55 unit: def sdxl_synthetic_dataset_map() file: training/data.py start line: 0 end line: 0 size: 21 LOC McCabe index: 8 number of parameters: 1 id: 56 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 20 LOC McCabe index: 4 number of parameters: 4 id: 57 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 20 LOC McCabe index: 1 number of parameters: 2 id: 58 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 20 LOC McCabe index: 4 number of parameters: 4 id: 59 unit: def __call__() file: muse/pipeline_muse.py start line: 0 end line: 0 size: 20 LOC McCabe index: 1 number of parameters: 20 id: 60 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 6 id: 61 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 20 LOC McCabe index: 4 number of parameters: 7 id: 62 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 20 LOC McCabe index: 9 number of parameters: 6 id: 63 unit: def step() file: training/optimizer.py start line: 0 end line: 0 size: 20 LOC McCabe index: 6 number of parameters: 2 id: 64 unit: def main() file: scripts/convert_coco_to_wds.py start line: 0 end line: 0 size: 20 LOC McCabe index: 5 number of parameters: 0 id: 65 unit: def token_probability_distributions_per_percent_masked_bucket() file: muse/training_utils.py start line: 0 end line: 0 size: 19 LOC McCabe index: 5 number of parameters: 3 id: 66 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 19 LOC McCabe index: 1 number of parameters: 0 id: 67 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 19 LOC McCabe index: 1 number of parameters: 0 id: 68 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 19 LOC McCabe index: 6 number of parameters: 4 id: 69 unit: def __init__() file: training/data.py start line: 0 end line: 0 size: 19 LOC McCabe index: 1 number of parameters: 0 id: 70 unit: def sinusoidal_encode() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 18 LOC McCabe index: 2 number of parameters: 3 id: 71 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 18 LOC McCabe index: 2 number of parameters: 5 id: 72 unit: def attention() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 18 LOC McCabe index: 2 number of parameters: 5 id: 73 unit: def __init__() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 18 LOC McCabe index: 4 number of parameters: 2 id: 74 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 18 LOC McCabe index: 1 number of parameters: 5 id: 75 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 18 LOC McCabe index: 2 number of parameters: 5 id: 76 unit: def sinusoidal_enocde() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 18 LOC McCabe index: 2 number of parameters: 3 id: 77 unit: def attention() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 18 LOC McCabe index: 2 number of parameters: 5 id: 78 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 18 LOC McCabe index: 5 number of parameters: 3 id: 79 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 18 LOC McCabe index: 4 number of parameters: 2 id: 80 unit: def inpainting_validation_data() file: training/train_muse.py start line: 0 end line: 0 size: 18 LOC McCabe index: 5 number of parameters: 0 id: 81 unit: def group_by_keys_nothrow() file: training/data.py start line: 0 end line: 0 size: 18 LOC McCabe index: 14 number of parameters: 5 id: 82 unit: def distribute_shards() file: scripts/calculate_fid.py start line: 0 end line: 0 size: 18 LOC McCabe index: 6 number of parameters: 3 id: 83 unit: def get_captions() file: scripts/gen_sdxl_synthetic_dataset.py start line: 0 end line: 0 size: 18 LOC McCabe index: 5 number of parameters: 1 id: 84 unit: def distribute_shards() file: scripts/pre_encode.py start line: 0 end line: 0 size: 18 LOC McCabe index: 6 number of parameters: 3 id: 85 unit: def __init__() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 17 LOC McCabe index: 4 number of parameters: 3 id: 86 unit: def __init__() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 17 LOC McCabe index: 4 number of parameters: 3 id: 87 unit: def register_to_config() file: muse/modeling_utils.py start line: 0 end line: 0 size: 17 LOC McCabe index: 8 number of parameters: 2 id: 88 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 0 id: 89 unit: def validate_model() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 17 LOC McCabe index: 2 number of parameters: 5 id: 90 unit: def ds_clean_map() file: training/data.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 1 id: 91 unit: def config_from_legacy_kwargs() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 16 LOC McCabe index: 6 number of parameters: 1 id: 92 unit: def forward() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 16 LOC McCabe index: 4 number of parameters: 3 id: 93 unit: def forward() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 16 LOC McCabe index: 4 number of parameters: 3 id: 94 unit: def input_ids_to_masked_buckets() file: muse/training_utils.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 3 id: 95 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 16 LOC McCabe index: 1 number of parameters: 9 id: 96 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 16 LOC McCabe index: 4 number of parameters: 3 id: 97 unit: def __init__() file: training/data.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 4 id: 98 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 3 id: 99 unit: def __init__() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 2 id: 100 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 2 id: 101 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 9 id: 102 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 4 id: 103 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 3 id: 104 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 15 LOC McCabe index: 4 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McCabe index: 2 number of parameters: 3 id: 112 unit: def pixel_entropy_per_percent_masked_bucket() file: muse/training_utils.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 3 id: 113 unit: def image_entropy_per_percent_masked_bucket() file: muse/training_utils.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 3 id: 114 unit: def _get_model_file() file: muse/modeling_utils.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 0 id: 115 unit: def num_parameters() file: muse/modeling_utils.py start line: 0 end line: 0 size: 13 LOC McCabe index: 12 number of parameters: 3 id: 116 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 4 id: 117 unit: def step() file: muse/modeling_ema.py start line: 0 end line: 0 size: 13 LOC McCabe index: 5 number of parameters: 2 id: 118 unit: def __init__() file: muse/modeling_transformer.py start 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132 unit: def get_soft_code() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 4 id: 133 unit: def __init__() file: muse/training_utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 134 unit: def step() file: muse/training_utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 2 id: 135 unit: def state_dict() file: muse/training_utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 1 id: 136 unit: def cross_entropy_per_percent_masked_bucket() file: muse/training_utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 6 id: 137 unit: def to_json_string() file: muse/modeling_utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 5 number of parameters: 1 id: 138 unit: def get_soft_code() file: muse/modeling_movq.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 4 id: 139 unit: def compute_distances() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 2 id: 140 unit: def get_soft_code() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 4 id: 141 unit: def __init__() file: muse/modeling_ema.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 142 unit: def state_dict() file: muse/modeling_ema.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 1 id: 143 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 144 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 2 id: 145 unit: def _init_weights() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 9 number of parameters: 2 id: 146 unit: def generate() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 147 unit: def generate2() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 148 unit: def log_token_probability_distributions() file: training/train_muse.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 5 id: 149 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 2 id: 150 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 151 unit: def _configure_library_root_logger() file: muse/logging.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 0 id: 152 unit: def save_pretrained() file: muse/training_utils.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 153 unit: def get_decay() file: muse/training_utils.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 154 unit: def get_mask_chedule() file: muse/sampling.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 2 id: 155 unit: def _load_state_dict_into_model() file: muse/modeling_utils.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 2 id: 156 unit: def lr_lambda() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 157 unit: def Normalize() file: muse/modeling_movq.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 3 id: 158 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 159 unit: def save_pretrained() file: muse/modeling_ema.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 160 unit: def get_decay() file: muse/modeling_ema.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 161 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 2 id: 162 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 2 id: 163 unit: def get_vq_model_class() file: training/train_muse.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 1 id: 164 unit: def soft_target_cross_entropy() file: training/train_muse.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 165 unit: def generate_images() file: training/train_muse.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 0 id: 166 unit: def generate_inpainting_images() file: training/train_muse.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 0 id: 167 unit: def soft_target_cross_entropy() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 168 unit: def ds_clean_upscaled_map() file: training/data.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 1 id: 169 unit: def take_up_to() file: scripts/gen_sdxl_synthetic_dataset.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 2 id: 170 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 3 id: 171 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 172 unit: def forward() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 2 id: 173 unit: def forward() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 2 id: 174 unit: def _get_default_logging_level() file: muse/logging.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 0 id: 175 unit: def get_parameter_device() file: muse/modeling_utils.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 176 unit: def get_parameter_dtype() file: muse/modeling_utils.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 177 unit: def from_pretrained() file: muse/pipeline_muse.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 178 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 5 id: 179 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 180 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 4 id: 181 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 182 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 183 unit: def log_pixel_entropy() file: training/train_muse.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 5 id: 184 unit: def log_image_entropy() file: training/train_muse.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 5 id: 185 unit: def log_cross_entropy() file: training/train_muse.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 8 id: 186 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 187 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 188 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 3 id: 189 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 4 id: 190 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 191 unit: def _reset_library_root_logger() file: muse/logging.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 0 id: 192 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 193 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 194 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 5 id: 195 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 196 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 197 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 198 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 199 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 200 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 201 unit: def __init__() file: training/optimizer.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 5 id: 202 unit: def image_transform() file: training/data.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 203 unit: def submit() file: scripts/pre_encode.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 204 unit: def _upload_thread_entrypoint() file: scripts/pre_encode.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 205 unit: def main() file: benchmark/muse_table.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 206 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 207 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 208 unit: def __init__() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 209 unit: def forward() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 210 unit: def __init__() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 211 unit: def average_by_buckets() file: muse/training_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 212 unit: def sigmoid_schedule() file: muse/sampling.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 5 id: 213 unit: def from_config() file: muse/modeling_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 5 id: 214 unit: def get_linear_schedule_with_warmup() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 4 id: 215 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 216 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 217 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 218 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 219 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 3 id: 220 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 221 unit: def encode() file: muse/modeling_movq.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 222 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 223 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 224 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 225 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 226 unit: def encode() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 227 unit: def to() file: muse/pipeline_muse.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 228 unit: def to_pil_image() file: muse/pipeline_muse.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 229 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 230 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 231 unit: def __init__() file: training/data.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 232 unit: def convert() file: scripts/convert_maskgit_vqgan.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 233 unit: def __init__() file: scripts/pre_encode.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 234 unit: def measure_max_memory_allocated() file: benchmark/muse_perf.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 235 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 236 unit: def Norm() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 237 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 238 unit: def forward() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 239 unit: def forward() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 240 unit: def encode() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 241 unit: def forward() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 242 unit: def encode() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 243 unit: def enable_full_determinism() file: muse/training_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 244 unit: def restore() file: muse/training_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 245 unit: def _load_pretrained_model() file: muse/modeling_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 246 unit: def save_config() file: muse/modeling_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 5 id: 247 unit: def lr_lambda() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 1 id: 248 unit: def get_scheduler() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 249 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 250 unit: def restore() file: muse/modeling_ema.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 251 unit: def __init__() file: muse/pipeline_muse.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 252 unit: def prob_mask_like() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 3 id: 253 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 254 unit: def validate_model() file: training/train_muse.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 255 unit: def get_vq_model_class() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 1 id: 256 unit: def __init__() file: scripts/calculate_fid.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 257 unit: def unfused_layer_norm() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 6 id: 258 unit: def forward() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 2 id: 259 unit: def get_code() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 260 unit: def get_code() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 261 unit: def from_pretrained() file: muse/training_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 262 unit: def to() file: muse/training_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 3 id: 263 unit: def top_k() file: muse/sampling.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 264 unit: def mask_by_random_topk() file: muse/sampling.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 265 unit: def save_pretrained() file: muse/modeling_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 266 unit: def get_constant_schedule_with_warmup() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 267 unit: def get_code() file: muse/modeling_movq.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 268 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 269 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 270 unit: def get_code() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 271 unit: def from_pretrained() file: muse/modeling_ema.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 272 unit: def to() file: muse/modeling_ema.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 3 id: 273 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 4 id: 274 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 6 id: 275 unit: def log_grad_norm() file: training/train_muse.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 3 id: 276 unit: def log_grad_norm() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 3 id: 277 unit: def replace_person_token() file: training/data.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 278 unit: def tokenize() file: training/data.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 279 unit: def tokenize() file: training/data.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 280 unit: def __exit__() file: scripts/pre_encode.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 4 id: 281 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 282 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 283 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 284 unit: def FeedForward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 285 unit: def __init__() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 286 unit: def get_codebook_entry() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 287 unit: def get_logger() file: muse/logging.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 288 unit: def enable_explicit_format() file: muse/logging.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 0 id: 289 unit: def warning_advice() file: muse/logging.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 290 unit: def __call__() file: muse/logging.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 291 unit: def get_codebook_entry() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 292 unit: def decode() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 293 unit: def decode_code() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 294 unit: def set_seed() file: muse/training_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 295 unit: def pow() file: muse/sampling.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 296 unit: def fn_recursive_set_mem_eff() file: muse/modeling_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 297 unit: def _find_mismatched_keys() file: muse/modeling_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 298 unit: def __init__() file: muse/modeling_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 299 unit: def lr_lambda() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 300 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 301 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 302 unit: def __init__() file: muse/modeling_movq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 303 unit: def forward() file: muse/modeling_movq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 304 unit: def get_codebook_entry() file: muse/modeling_movq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 305 unit: def get_code() file: muse/modeling_movq.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 306 unit: def forward() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 307 unit: def __init__() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 308 unit: def get_codebook_entry() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 309 unit: def get_code() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 310 unit: def get_config() file: training/train_muse.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 311 unit: def reset() file: training/train_muse.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 312 unit: def update() file: training/train_muse.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 313 unit: def get_config() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 314 unit: def reset() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 315 unit: def update() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 316 unit: def tarfile_to_samples_nothrow() file: training/data.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 317 unit: def get_tar_file_name() file: scripts/pre_encode.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 318 unit: def _set_gradient_checkpointing() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 3 id: 319 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 320 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 321 unit: def forward() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 322 unit: def decode_code() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 323 unit: def get_soft_code() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 324 unit: def get_code() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 325 unit: def disable_default_handler() file: muse/logging.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 326 unit: def enable_default_handler() file: muse/logging.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 327 unit: def add_handler() file: muse/logging.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 328 unit: def remove_handler() file: muse/logging.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 329 unit: def reset_format() file: muse/logging.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 0 id: 330 unit: def __getattr__() file: muse/logging.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 331 unit: def set_lock() file: muse/logging.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 3 id: 332 unit: def get_code() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 333 unit: def forward() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 334 unit: def copy_to() file: muse/training_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 335 unit: def linear_schedule() file: muse/sampling.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 336 unit: def enable_gradient_checkpointing() file: muse/modeling_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 337 unit: def __setattr__() file: muse/modeling_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 3 id: 338 unit: def __setitem__() file: muse/modeling_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 3 id: 339 unit: def _dict_from_json_file() file: muse/modeling_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 340 unit: def decode() file: muse/modeling_movq.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 341 unit: def decode_code() file: muse/modeling_movq.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 342 unit: def decode() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 343 unit: def decode_code() file: muse/modeling_taming_vqgan.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 344 unit: def copy_to() file: muse/modeling_ema.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 345 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 346 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 347 unit: def create_custom_forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 348 unit: def filter_keys() file: training/data.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 349 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 350 unit: def __init__() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 351 unit: def decode() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 352 unit: def get_verbosity() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 353 unit: def set_verbosity() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 354 unit: def disable_propagation() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 355 unit: def enable_propagation() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 356 unit: def get_lock() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 357 unit: def is_progress_bar_enabled() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 358 unit: def enable_progress_bar() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 359 unit: def disable_progress_bar() file: muse/logging.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 360 unit: def compute_distances() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 361 unit: def store() file: muse/training_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 362 unit: def gumbel_noise() file: muse/sampling.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 363 unit: def disable_gradient_checkpointing() file: muse/modeling_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 364 unit: def enable_xformers_memory_efficient_attention() file: muse/modeling_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 365 unit: def disable_xformers_memory_efficient_attention() file: muse/modeling_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 366 unit: def to_json_file() file: muse/modeling_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 367 unit: def compute_distances() file: muse/modeling_movq.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 368 unit: def store() file: muse/modeling_ema.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 369 unit: def save_pretrained() file: muse/pipeline_muse.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 370 unit: def __init__() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 4 id: 371 unit: def benchmark_torch_function() file: scripts/benchmark_models.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 372 unit: def chunk() file: scripts/log_inpainting_images.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 373 unit: def chunk() file: scripts/log_generations_wandb.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 374 unit: def generate() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 375 unit: def set_use_memory_efficient_attention_xformers() file: muse/modeling_transformer_v2.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 376 unit: def calc_same_pad() file: muse/modeling_maskgit_vqgan.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 5 id: 377 unit: def _get_library_name() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 378 unit: def _get_library_root_logger() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 379 unit: def get_log_levels_dict() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 380 unit: def set_verbosity_info() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 381 unit: def set_verbosity_warning() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 382 unit: def set_verbosity_debug() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 383 unit: def set_verbosity_error() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 384 unit: def __init__() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 3 id: 385 unit: def __iter__() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 386 unit: def __enter__() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 387 unit: def __exit__() file: muse/logging.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 4 id: 388 unit: def _norm() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 389 unit: def __init__() file: muse/modeling_paella_vq.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 390 unit: def log() file: muse/sampling.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 391 unit: def gumbel_sample() file: muse/sampling.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 4 id: 392 unit: def cosine_schedule() file: muse/sampling.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 393 unit: def __init__() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 394 unit: def is_gradient_checkpointing() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 3 number of parameters: 1 id: 395 unit: def set_use_memory_efficient_attention_xformers() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 396 unit: def device() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 397 unit: def dtype() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 398 unit: def __delitem__() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 399 unit: def setdefault() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 400 unit: def pop() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 401 unit: def update() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 402 unit: def load_config() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 403 unit: def _get_init_keys() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 404 unit: def __repr__() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 405 unit: def config() file: muse/modeling_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 406 unit: def get_constant_schedule() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 407 unit: def get_cosine_schedule_with_warmup() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 408 unit: def get_cosine_with_hard_restarts_schedule_with_warmup() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 409 unit: def get_polynomial_decay_schedule_with_warmup() file: muse/lr_schedulers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 410 unit: def set_use_memory_efficient_attention_xformers() file: muse/modeling_movq.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 411 unit: def uniform() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 4 id: 412 unit: def make_attention_mask() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 413 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 414 unit: def set_use_memory_efficient_attention_xformers() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 415 unit: def forward() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 416 unit: def _set_gradient_checkpointing() file: muse/modeling_transformer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 417 unit: def get_loss_weight() file: training/train_muse.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 418 unit: def __init__() file: training/train_muse.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 419 unit: def __init__() file: training/train_maskgit_imagenet.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 420 unit: def get_orig_size() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 421 unit: def train_dataset() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 422 unit: def train_dataloader() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 423 unit: def eval_dataset() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 424 unit: def eval_dataloader() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 425 unit: def train_dataset() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 426 unit: def train_dataloader() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 427 unit: def eval_dataset() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 428 unit: def eval_dataloader() file: training/data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 429 unit: def __len__() file: scripts/calculate_fid.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 430 unit: def __getitem__() file: scripts/calculate_fid.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 431 unit: def format_shard_number() file: scripts/calculate_fid.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 432 unit: def format_shard_number() file: scripts/gen_sdxl_synthetic_dataset.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 433 unit: def split_list() file: scripts/gen_sdxl_synthetic_dataset.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 434 unit: def format_shard_number() file: scripts/pre_encode.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 435 unit: def __enter__() file: scripts/pre_encode.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1